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Network Complexity Models for Automated Cyber Range Security Capability Evaluations: Relating Network Complexity to Defensive Difficulty to Enable Comprehensive Evaluation

机译:网络复杂性模型自动化网络范围安全性能力评估:将网络复杂性与防御性难度相关联,以实现综合评价

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For any organization to maintain a strong cyber security posture, it is important to test readiness and capabilities of cyber security teams and the tools that they use. In order to design and conduct experiments to assess performance of defensive cyber security teams and tools, it is crucial to either ensure the test range accurately represents the real environment in which the defensive teams or tools normally would operate or to ensure that testing is conducted across a suite of test ranges that provides comprehensive coverage of the potential real-life network environments. In this paper, we present a novel network complexity scoring framework that is designed to capture the set of the network attributes that have the principal impact on the performance of defenders and defensive tools and to differentiate networks according to defensive difficulty.
机译:对于任何维持强大网络安全姿势的组织,重要的是测试网络安全团队的准备和能力以及他们使用的工具。为了设计和进行实验来评估防御网络安全团队和工具的性能,至关重要,确保测试范围准确表示防御团队或工具通常会运作或确保进行测试的真实环境一套测试范围,提供了潜在的现实生活网络环境的全面覆盖范围。在本文中,我们提出了一种新的网络复杂性评分框架,旨在捕获具有主体对捍卫者和防御工具的性能以及根据防御性困难来区分网络的网络属性集的集合。

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